CapitalGuard
CursorHistory and sharing

Cursor Chat History and Shared Links: Privacy Check

Cursor history and sharing: understand the access path, warning signs, safe checks, and controls before your next sensitive task.

CapitalGuard Security ResearchUpdated July 13, 2026Primary-source review

The direct answer

Chat history, memories, indexes, code metadata, and model-provider handling depend on settings and feature use. Privacy Mode affects data use and retention, but it is not the same as a repository access boundary. Users still need to control workspaces, indexing, ignored paths, extensions, tools, and commands.

What changes here

How Cursor creates this exposure

Cursor combines an AI editor with codebase context, indexing, agent features, model providers, extensions, web search, and optional background or connected tools.

Closing a browser tab does not necessarily delete the conversation, uploaded material, memory, project context, connector index, or shared link. Each product has its own controls, and account type can change the rules.

Chat history, memories, indexes, code metadata, and model-provider handling depend on settings and feature use.

The exposure path

Three steps from useful context to avoidable risk

  1. 1

    Context enters

    Chat history, memories, indexes, code metadata, and model-provider handling depend on settings and feature use.

  2. 2

    Access carries it

    Cursor may use open files and editor context, codebase indexing and embeddings, or agent commands, extensions, web search, and MCP tools, depending on the surface and settings.

  3. 3

    A real consequence becomes possible

    Old conversations can preserve identity details, private decisions, financial context, health questions, or files long after the immediate task is forgotten. Persistent chats and shared links can outlive projects, staff changes, client permissions, retention requirements, and the business reason for keeping the information.

Who should care

Why this matters for everyday users, freelancers, creators, and teams storing work inside AI conversations or projects

Old conversations can preserve identity details, private decisions, financial context, health questions, or files long after the immediate task is forgotten.

Persistent chats and shared links can outlive projects, staff changes, client permissions, retention requirements, and the business reason for keeping the information.

This page does not claim that Cursor has exposed your information. It shows the access conditions that make a review sensible before the next sensitive task.

Warning signs

Pause before adding more access

Nobody knows which chats, projects, memories, files, or public links still contain sensitive material.

A personal account is being used for client or company work without an agreed retention policy.

Deleting a chat is assumed to delete connected-source data, copied outputs, or downstream records without verification.

Five-minute safe check

Check Cursor without exposing more data

Review privacy settings, stored chats, memories, indexed codebases, and account deletion controls separately.

Review history, projects, memories, uploaded files, shared links, connector indexes, and deletion controls separately.

Open every active share link in a signed-out browser to confirm what an unauthenticated viewer can see.

Export or record what must be retained, then delete what no longer has a legitimate purpose.

Reduce the risk

Controls to apply now

Delete stale indexes and keep sensitive client work in enforced Privacy Mode.

Use temporary or incognito modes for disposable sensitive work when the vendor’s terms fit the task.

Keep personal, client, and employer conversations in separate managed contexts.

Set a recurring review for histories, memories, projects, indexes, and shared links.

Review privacy mode and codebase indexing.

Review .cursorignore and workspace scope.

Review agent, extension, web, network, and mcp permissions.

Decision rule

When CapitalGuard is the right next step

For ordinary personal questions, vendor privacy controls may be enough. When retained history intersects with connected work files, repositories, or client obligations, include it in the access baseline and evidence record.

CapitalGuard focuses on repository and tool-connected exposure: what an AI workflow can read, change, execute, trust, or transfer. It does not inspect your private Cursoraccount from this page, replace the provider's privacy controls, or guarantee that an incident can never happen.

Primary references

Check the source, not our confidence.

Your next safe step

Turn this check into a real repository baseline.

Starter gives one authorized repository scan, a redacted report, preventive controls, and the customer delivery kit.

Review Starter